Paper Info
Title
An SDR-Based Real-Time Testbed for GNSS Adaptive Array Anti-Jamming Algorithms Accelerated by GPU.
Abstract
Nowadays, software-defined radio (SDR) has become a common approach to evaluate new algorithms. However, in the field of Global Navigation Satellite System (GNSS) adaptive array anti-jamming, previous work has been limited due to the high computational power demanded by adaptive algorithms, and often lack flexibility and configurability. In this paper, the design and implementation of an SDR-based real-time testbed for GNSS adaptive array anti-jamming accelerated by a Graphics Processing Unit (GPU) are documented. This testbed highlights itself as a feature-rich and extendible platform with great flexibility and configurability, as well as high computational performance. Both Space-Time Adaptive Processing (STAP) and Space-Frequency Adaptive Processing (SFAP) are implemented with a wide range of parameters. Raw data from as many as eight antenna elements can be processed in real-time in either an adaptive nulling or beamforming mode. To fully take advantage of the parallelism resource provided by the GPU, a batched method in programming is proposed. Tests and experiments are conducted to evaluate both the computational and anti-jamming performance. This platform can be used for research and prototyping, as well as a real product in certain applications.
Year
DOI
Venue
2016
10.3390/s16030356
SENSORS
Keywords
Field
DocType
beamforming,Space-Time Adaptive Processing (STAP),nulling,software-define radio (SDR),Global Navigation Satellite System (GNSS) anti-jamming,adaptive array,Space-Frequency Adaptive Processing (SFAP)
Beamforming,Satellite system,Raw data,Testbed,Algorithm,GNSS applications,Engineering,Graphics processing unit,Jamming
Journal
Volume
Issue
ISSN
16
3.0
1424-8220
Citations 
PageRank 
References 
1
0.37
6
Authors
3
Name
Order
Citations
PageRank
Hailong Xu111.39
X. W. Cui221926.61
Mingquan Lu312230.09